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paddle.nn.functional. elu ( x: Tensor, alpha: float = 1.0, name: str | None = None ) → Tensor [source]
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elu activation.

\[\begin{split}elu(x)= \left\{ \begin{array}{lcl} x,& &\text{if } \ x > 0 \\ alpha * (e^{x} - 1),& &\text{if } \ x <= 0 \end{array} \right.\end{split}\]
Parameters

  • x (Tensor) – The input Tensor with data type float32, float64.

  • alpha (float, optional) – The ‘alpha’ value of the ELU formulation. Default is 1.0.

  • name (str|None, optional) – For details, please refer to Name. Generally, no setting is required. Default: None.

Returns

A Tensor with the same data type and shape as x .

Examples

>>> import paddle
>>> import paddle.nn.functional as F

>>> x = paddle.to_tensor([[-1., 6.], [1., 15.6]])
>>> out = F.elu(x, alpha=0.2)
>>> print(out)
Tensor(shape=[2, 2], dtype=float32, place=Place(cpu), stop_gradient=True,
[[-0.12642412,  6.        ],
 [ 1.        , 15.60000038]])